An autoepistemic logical view of knowledge base

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Abstract

Autoepistemic logic (AE) is a non-monotonic logic for modelling beliefs of agents who reflect on their own beliefs. In this paper, we will take such a logical view of knowledge base by treating its contents as its beliefs about a world and its integrity constraints as its beliefs about its contents. We will show how such a view can help us to represent and reason about incomplete knowledge, self-knowledge and negative information. We will also show that an AE logical closure of a knowledge base will neither suffer the inconsistency problem nor the logic-impurity problem that often persist in the standard nonmotonic closures of a kowledge base. In particular, we will show that an AE logic view of integrity constraints provides a finer way of defining integrity constraints than existing definitions. For the logic to be effective, we introduce a a stratified AE proof theory for evaluating queries and maintaining integrity constraints. It is shown that the AE logical view of a stratified knowledge base will yield a unique AE closure of the knowledge base.

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APA

Jiang, Y. J. (1989). An autoepistemic logical view of knowledge base. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 405 LNCS, pp. 68–77). Springer Verlag. https://doi.org/10.1007/3-540-52048-1_33

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